Abstract
When initial data are not sufficient to accomplish inference in a knowledge-based system, more information may be needed. The task of inference guiding or question-asking in that situation is to select missing information to confirm. We present an inference guiding method for propositional knowledge-based systems. Our computational experiments show that the new method is significantly better than the methods currently used in many knowledge-based systems.
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Wang, J. Inference guiding in propositional knowledge bases. Annals of Mathematics and Artificial Intelligence 23, 345–356 (1998). https://doi.org/10.1023/A:1018984712480
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DOI: https://doi.org/10.1023/A:1018984712480